A software developer with strong analytical thinking, rapid learning abilities, and exceptionally high motivation. Willing to work hard and persist in order to achieve the highest level of success. Seeking a challenging position that will allow me to grow professionally, create meaningful impact, and combine creativity with technological innovation.
High-performance real-time imaging system for Raspberry Pi

Mentored by: Mobileye
Embedded Systems Bootcamp 2025 (Embedded)
Responsibilities:
Developed a kernel-level camera module for Linux with MIPI-CSI and DMA support for real-time frame acquisition on Raspberry Pi.
Designed an efficient shared-memory mechanism for transferring image data between Kernel and User Space, minimizing memory copies and improving throughput
Implemented a Color Conversion algorithm supporting YUV, LAB, LUV, and GRAY color spaces, including NEON-SIMD optimizations for vectorized real-time processing.
Accelerated the image-processing pipeline using OpenMP to distribute workloads across multiple CPU cores for continuous, high-throughput processing
Accelerated the image-processing pipeline using OpenMP to distribute workloads across multiple CPU cores for continuous, high-throughput processing.
Built a comprehensive suite of unit tests and integration tests using mocks.
Researched IOCTL interfaces and alternative communication mechanisms between User Space and Kernel Space for driver control and frame management.
Designed and developed a thread-safe system library implementing a parallel pipeline: A dedicated high-priority thread for high-rate frame acquisition from the video stream And a second asynchronous thread for image processing The architecture provides load separation, non-blocking operation, and improved real-time system stability

05–06/2025 : Currency Tracker Dashboard | Angular & .NET
• Integrated with an external currency exchange API to fetch real-time and historical rates.
• Built an interactive data visualization dashboard in Angular, allowing users to select currencies and view trend graphs over custom time ranges
04–05/2025 : E-Shop Management System | React & Node.js
• Developed a full-stack React & Node.js e-commerce application with an admin dashboard for managing products, users, and orders
• Implemented secure role-based authentication, user registration, login, and session persistence for restoring cart and order history
• Stored and managed all data (users, products, orders, shopping cart) using JSON files on the Node.js server.
Working Proficiency